Shubham Chandak | CV people.stanford.edu/schandak/ • Name in Hindi: शुभम चांडक

Second year PhD student in Electrical Engineering at Stanford University, advised by Prof. Tsachy Weissman.I am interested in theory and applications related to Information Theory, Machine Learning and Genomics.

Education

○␣Stanford University Stanford, CA, USAPhD, Electrical Engineering, ongoing 2016–2022

○␣Stanford University Stanford, CA, USAMS, Electrical Engineering, ongoing 2016–2018

○␣Indian Institute of Technology Bombay Mumbai, IndiaB.Tech. (with Honours) Electrical Engineering, CPI 9.99/10, Minor in Mathematics 2012–2016

Academic Achievements

○␣ Recipient of The Numerical Technologies Co-Founders Fellowship in 2017-18 awarded to the top per-formers in Stanford Electrical Engineering PhD qualifying exam

○␣ Institute Silver Medal at IIT Bombay for best academic standing among B.Tech. Electrical Engineeringstudents in 2016

○␣ Gold medalist (International Rank 9) at the 44th International Chemistry Olympiad held in WashingtonDC, USA from 21st to 30th July, 2012

○␣ Awarded the prestigious Aditya Birla Scholarship for 2012-16 by India’s premier business house viz. AdityaBirla Group

○␣ All India Rank 15 in IIT-JEE 2012 (IIT-Joint Entrance Exam) among more than 470,000 candidates○␣ Selected for KVPY Fellowship in 2010 with All India Rank 6 (KVPY is a National Program of Fellowship

in Basic Sciences, initiated by the Department of Science and Techology, Govt. of India)○␣ NTSE Scholar (National Talent Search Exam conducted by NCERT, Govt. of India) since 2009

Publications

Conference. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

○␣ N. V. Desai, C. Juvekar, S. Chandak and A. P. Chandrakasan, ”21.8 An actively detuned wireless powerreceiver with public key cryptographic authentication and dynamic power allocation,” 2017 IEEE InternationalSolid-State Circuits Conference (ISSCC), San Francisco, CA, 2017, pp. 366-367.

Journal. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

○␣ N. Desai, C. Juvekar, S. Chandak and A. P. Chandrakasan, ”An Actively Detuned Wireless Power ReceiverWith Public Key Cryptographic Authentication and Dynamic Power Allocation,” in IEEE Journal of Solid-

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State Circuits, vol. 53, no. 1, pp. 236-246, Jan. 2018.○␣ Shubham Chandak, Kedar Tatwawadi, Tsachy Weissman; Compression of genomic sequencing reads via

hash-based reordering: algorithm and analysis, Bioinformatics, Volume 34, Issue 4, 15 February 2018, Pages558–567

Poster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

○␣ Shubham Chandak, Kedar Tatwawadi. Compression of genomic sequencing reads with and without preservingthe order. 2017 Biomedical Computation at Stanford Symposium, Stanford University, April 10th, 2017

Course Projects○␣ Understanding the Amazon Rainforest from Space using CNNs

- Participated in Kaggle contest “Understanding the Amazon from Space” by Planet Labs, as part of courseproject for “CS231N: Convolutional Neural Networks for Visual Recognition”.

- Tested various architectures for multi-class, multi-label prediction of weather and land-use features basedon satellite images of the Amazon rainforest.

- Received Bronze medal from Kaggle for getting leaderboard rank of 67 among 938 teams.

Coursework

○␣ Electrical Engineering: Convex Optimization, Universal Schemes in Information Theory, Information Theory& Coding, Advanced Error Correcting Codes, Foundations of Number Theory & Cryptography, Digital SignalProcessing, Digital Communications, Control Systems, Microprocessors, Digital Systems

○␣ Computer Science: Convolutional Neural Networks for Visual Recognition, Probabilistic Graphical Models,Automata & Complexity Theory, Machine Learning, Web Applications

○␣ Statistics & Probability: Advanced Probability & Random Processes, Estimation and Identification○␣ Mathematics: Measure Theory, General Topology, Graph Theory, Basic Algebra, Fourier Analysis, Com-

plex Analysis, Real Analysis, Partial Differential Equations, Ordinary Differential Equations, Linear Algebra,Calculus

○␣ Humanities & Social Sciences: Economics, Sociology

Technical and Personal skills

○␣ Programming Languages:Proficient in: C++, Python, NumPy, Matlab, LATEXExperience with: Tensorflow, Keras, VHDL, Arduino, SageMath, CVX, Javascript, MEAN stack

○␣ Languages: Hindi, English

Interests and extra-curricular activity

○␣ Completed one year Yoga training in 2012-13.○␣ Attended 10 day Vipassana meditation camps

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